- ✓: Support to convert
- X: Not support
Total: 11/12
Count 11/12
Name Support Memo bvlc_alexnet_model ✓ bvlc_googlenet_model ✓ bvlc_reference_caffenet_model ✓ bvlc_reference_rcnn_ilsvrc13_model ✓ densenet121_model ✓ inception_v1_model X The edge mode of the pad in nnabla is not implemented. inception_v2_model ✓ resnet50_model ✓ shufflenet_model ✓ squeezenet_model ✓ vgg19_model ✓ zfnet512_model ✓
- ✓: Support to convert
- X: Not support
Total: 61/65
Count 34/37
Count 18/18
Name Support Memo AlexNet ✓ DenseNet-161_2_570 ✓ GoogLeNet_4_142 ✓ MobileNet_1_86 ✓ NIN ✓ Resnet-101_4_348 ✓ Resnet-152_4_518 ✓ Resnet-18_3_71 ✓ Resnet-34_4_128 ✓ Resnet-50_4_178 ✓ ShuffleNet-0.5x_2_202 ✓ ShuffleNet_2_202 ✓ SqueezeNet-1.0_2_70 ✓ SqueezeNet-1.1_2_70 ✓ VGG-11 ✓ VGG-13 ✓ VGG-16 ✓ Xception ✓
Count 9/10
Name Support Memo capsules ✓ classification ✓ cycle_gan ✓ deeplabv3plus ✓ meta_learning ✓ pix2pix ✓ siamese_embedding ✓ wavenet X The onehot dimension != 2 is not supported. word_embedding ✓ yolov2 ✓
- ✓: Support to convert
- X: Not support
Total: 14/16
Count 14/16
Name Support Memo AlexNet ✓ GoogLeNet ✓ LeNet_5 ✓ ResNet50 ✓ VGG16 ✓ ZFNet ✓ ae0_frozen ✓ conv-layers_frozen ✓ fc-layers_frozen ✓ inception_resnet_v2_2016_08_30_frozen X inception_v1_2016_08_28_frozen ✓ inception_v3_2016_08_28_frozen ✓ inception_v4_2016_09_09_frozen ✓ lstm_frozen X The Shape is currently not supported to convert by nnabla. mobilenet_v1_0.75_192 ✓ mobilenet_v1_1.0_224 ✓
- ✓: Support to convert
- X: Not support
Total: 58/65
Count 34/37
Count 15/18
Name Support Memo AlexNet X DenseNet-161_2_570 ✓ GoogLeNet_4_142 ✓ MobileNet_1_86 ✓ NIN ✓ Resnet-101_4_348 ✓ Resnet-152_4_518 ✓ Resnet-18_3_71 ✓ Resnet-34_4_128 ✓ Resnet-50_4_178 ✓ ShuffleNet-0.5x_2_202 X ShuffleNet_2_202 X SqueezeNet-1.0_2_70 ✓ SqueezeNet-1.1_2_70 ✓ VGG-11 ✓ VGG-13 ✓ VGG-16 ✓ Xception ✓
Count 9/10
Name Support Memo capsules ✓ classification ✓ cycle_gan ✓ deeplabv3plus ✓ meta_learning ✓ pix2pix ✓ siamese_embedding ✓ wavenet X The onehot dimension != 2 is not supported. word_embedding ✓ yolov2 ✓
- ✓: Support to convert
- X: Not support
Total: 46/65
Count 29/37
Count 10/18
Name Support Memo AlexNet ✓ DenseNet-161_2_570 X GoogLeNet_4_142 ✓ MobileNet_1_86 ✓ NIN X Resnet-101_4_348 ✓ Resnet-152_4_518 ✓ Resnet-18_3_71 ✓ Resnet-34_4_128 ✓ Resnet-50_4_178 ✓ ShuffleNet-0.5x_2_202 ✓ ShuffleNet_2_202 ✓ SqueezeNet-1.0_2_70 X SqueezeNet-1.1_2_70 X VGG-11 X VGG-13 X VGG-16 X Xception X
Count 7/10
Name Support Memo capsules X classification ✓ cycle_gan ✓ deeplabv3plus ✓ meta_learning ✓ pix2pix ✓ siamese_embedding ✓ wavenet X word_embedding ✓ yolov2 X
- ✓: Support to convert
- X: Not support
Total: 34/37
Count 34/37
Name Support Memo 01_logistic_regression_10 ✓ 01_logistic_regression_9 ✓ 02_binary_cnn_15 ✓ 02_binary_cnn_16 ✓ 06_auto_encoder_17 ✓ 06_auto_encoder_18 ✓ 10_deep_mlp_13 ✓ 10_deep_mlp_14 ✓ 11_deconvolution_11 ✓ 11_deconvolution_12 ✓ 12_residual_learning_19 ✓ 12_residual_learning_20 ✓ LSTM_auto_encoder_23 ✓ LSTM_auto_encoder_24 ✓ LeNet_35 ✓ LeNet_36 ✓ bidirectional_elman_net_25 ✓ bidirectional_elman_net_26 ✓ binary_connect_mnist_LeNet_5 ✓ binary_connect_mnist_MLP_8 ✓ binary_net_mnist_LeNet_7 ✓ binary_net_mnist_MLP_4 ✓ binary_weight_mnist_MLP_6 ✓ elman_net_21 ✓ elman_net_22 ✓ elman_net_with_attention_33 ✓ elman_net_with_attention_34 ✓ gated_recurrent_unitGRU_31 ✓ gated_recurrent_unitGRU_32 ✓ long_short_term_memoryLSTM_29 ✓ long_short_term_memoryLSTM_30 ✓ mnist_dcgan_with_label_1 X Failed to infer by nnabla. mnist_dcgan_with_label_2 X Failed to compare inferring result. mnist_vae_3 ✓ semi_supervised_learning_VAT_37 X Failed to compare inferring result. stacked_GRU_27 ✓ stacked_GRU_28 ✓